Triple
T34007307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beatles (live performances) |
E871997
|
entity |
| Predicate | reasonForStoppingTours |
P11350
|
FINISHED |
| Object | poor sound quality in large venues |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: poor sound quality in large venues | Statement: [The Beatles (live performances), reasonForStoppingTours, poor sound quality in large venues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForStoppingTours Context triple: [The Beatles (live performances), reasonForStoppingTours, poor sound quality in large venues]
-
A.
reasonForDiscontinuation
chosen
Indicates that one entity specifies the cause or justification for stopping, ending, or withdrawing another entity, process, or activity.
-
B.
tourStopOf
Indicates that one entity is a stop or scheduled visit location within the itinerary or route of another entity’s tour.
-
C.
stoppedBy
Indicates that one entity causes another entity to cease moving, operating, or continuing an action.
-
D.
reasonForEndOfMission
Indicates the cause or circumstance that led to the termination or conclusion of a mission.
-
E.
isMajorStopForTourists
Indicates that a location is a primary or frequently visited destination for tourists.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: May 1, 2026, 1:50 a.m.